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Sr Platform Integration Engineer

icon building Empresa : Jobgether
icon briefcase Tipo de Emprego : Periodo Integral
icon remote-alt Remote / Work from Home

Descrição do Emprego - Sr Platform Integration Engineer


This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Platform Integration Engineer based in Brazil.


This role focuses on driving cloud-native modernization initiatives through advanced platform integration and backend engineering expertise.
You will lead application migrations, deployment automation, and integration activities across modern Kubernetes environments.
The position requires strong technical ownership, problem-solving skills, and collaboration with engineering teams to deliver reliable solutions.
You will work with cloud platforms, container technologies, and automation tools to improve application scalability and performance.
This is an opportunity to contribute to large-scale transformation projects while working with cutting-edge infrastructure technologies.
The role offers exposure to complex cloud environments and the opportunity to shape efficient, resilient, and automated platforms.


Accountabilities:


The role is responsible for leading application modernization efforts, managing platform integrations, and ensuring successful deployment and operation of cloud-native workloads.



  • Design and execute application migrations into Kubernetes clusters.

  • Develop and maintain deployment automation solutions for containerized applications.

  • Configure and deploy workloads using Helm charts and Kubernetes-native resources.

  • Troubleshoot and resolve deployment, integration, and runtime issues across environments.

  • Validate application performance, stability, and behavior after migration activities.

  • Collaborate with platform, DevOps, and application teams to define integration requirements and technical solutions.

  • Build and maintain Kubernetes networking configurations and integration patterns.

  • Support cloud modernization initiatives across AWS and Azure environments.

  • Create and maintain technical documentation, migration processes, runbooks, and post-migration validation materials.

  • Contribute to improving platform reliability, scalability, and operational efficiency.


Requirements:


The ideal candidate has extensive experience in backend engineering, platform integrations, and cloud-native technologies, with strong automation skills and the ability to work on complex modernization projects.



  • 5+ years of experience in backend engineering, platform integration engineering, or related technical roles.

  • Strong Python development skills for automation, scripting, and internal tooling.

  • Proven experience migrating applications to Kubernetes environments and configuring deployments.

  • Hands-on experience with containerization technologies and managing containerized workloads.

  • Experience using Helm charts for application packaging and deployment.

  • Experience implementing deployment automation for cloud-native platforms.

  • Strong understanding of Kubernetes networking and integration patterns.

  • Experience supporting cloud modernization projects using AWS and Azure.

  • Ability to validate application performance and troubleshoot complex technical issues after migrations.

  • Strong collaboration and communication skills when working with cross-functional engineering teams.

  • Experience with OpenSearch, Ansible, Fluent Bit, Keycloak, or PostgreSQL is a plus.

  • Previous participation in large-scale platform modernization initiatives is desirable.


Benefits:



  • Remote work opportunity.

  • Long-term contractor engagement of 12 months or more.

  • Opportunity to work on large-scale cloud modernization projects.

  • Exposure to advanced Kubernetes, cloud infrastructure, and automation technologies.

  • Collaboration with international engineering teams.

  • Flexible remote environment focused on technical ownership and innovation.

  • No regular overtime requirements.

  • Opportunity to contribute to impactful platform transformation initiatives.


How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!


 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

 

 

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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